Data Scientist

Lmi

Location: United States
Workplace: Remote
Employment: Full Time
Salary: USD 111,426–150,000/yr

Posted 2mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

Create data models from mock visualizations and raw data inputs
Develop an architecture plan using Python, PySpark, and Foundry
Extract, transform, and load data into Vantage
Develop visualizations using Vantage workshops
Extract, transform, and load data using big data platforms like Palantir Foundry
Load data into data visualizations
Transform data using Python and low-code data pipeline building tools
Build low-code/no-code applications for real-time readiness dashboards
Automate and clean data ingestion from legacy systems
Create models to forecast equipment failures, personnel shortages, or budget overruns
Assist with feature writing, task decomposition, acceptance criteria, and user stories
Extract dependencies from descriptive models
Answer critical information requirements by pulling data across different domains
Gather customer requirements and deliver statistical analysis
Support project management over data activities in an agile environment
Engage technical and functional program SMEs and data stakeholders
Define and develop techniques to integrate, consolidate, and structure data
Create data pipelines in Python from raw data to data products
Understand and analyze complex and organization-specific datasets
Transform data and analysis into informative visualizations and interactive dashboards
Propose alternative designs and processes for managing data
Provide recommendations for improvements in data strategies

Requirements

Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline preferred
Relevant experience considered in lieu of a degree
Active DoD Secret clearance required
Minimum of an Interim Secret Clearance
10 years of experience with Python
Strong experience with PySpark or similar big data libraries
Knowledge of Army Vantage and data environment standardization
Experience working with data analysis tools including object-oriented programming (Python, Java, SQL, TypeScript)
Experience with computational analysis tools (R, MATLAB)
Experience with associated data science libraries (scikit-learn)
Experience developing and implementing statistical, machine learning, and heuristic techniques
Experience creating descriptive, predictive, and prescriptive analytics
Experience developing statistical tests to make data-driven recommendations and decisions
Experience creating meaningful data visualizations and interactive dashboards using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, or d3.js
Experience with data modeling
Experience building "objects" (e.g., "Soldier," "Tank," "Unit") and defining how they relate to one another in the Foundry environment
Strong background in DevOps and Software Engineering
Experience with GitLab CI/CD
Experience with Infrastructure as Code
Experience implementing Quality Assurance practices like Test-Driven Development (TDD) and unit testing (Pytest)
Proven ability to design and scale Medallion Lakehouse Architectures
Proven ability to implement Data Mesh concepts
Proven ability to utilize Dimensional Modeling (Star Schemas) on cloud platforms like Databricks or DoD Advana
Innovative problem solving and root cause identification skills
Superior communication skills, both oral and written
Able to work effectively at all levels of an organization
Must be a team player and able to work with and through others
Ability to influence and align others and move toward a common vision or goal
Federal government agency experience required
Applicants must meet eligibility requirements for a U.S. Government security clearance
Only US Citizens are eligible for a security clearance
LMI will only consider applicants with security clearances or applicants who are eligible for security clearances

Preferred

Master's degree in data science, mathematics, statistics, economics, computer science, engineering, or other related business or quantitative discipline
Experience with authoritative data sources, including IPPS-A / MILPDS, GCSS-Army, GFEBS, DTMS / MEDPROS
Experience with Army Vantage
Experience with efforts focused on understanding interdependencies of programs within an organization

Skills

Python
PySpark
Foundry
SQL
Java
TypeScript
R
MATLAB
scikit-learn
Tableau
Qlik
Power BI
RShiny
plotly
d3.js
GitLab CI/CD
Databricks

Responsibilities

Requirements

Preferred

Skills

Similar roles